Spectrum of ST-T–Wave Patterns and Repolarization Parameters in Congenital Long-QT Syndrome

Author:

Zhang Li1,Timothy Katherine W.1,Vincent G. Michael1,Lehmann Michael H.1,Fox Jolene1,Giuli Lisa C.1,Shen Jiaxiang1,Splawski Igor1,Priori Silvia G.1,Compton Steven J.1,Yanowitz Frank1,Benhorin Jesaia1,Moss Arthur J.1,Schwartz Peter J.1,Robinson Jennifer L.1,Wang Qing1,Zareba Wojciech1,Keating Mark T.1,Towbin Jeffrey A.1,Napolitano Carlo1,Medina Aharon1

Affiliation:

1. From LDS Hospital (L.Z., K.W.T., G.M.V., J.F., L.C.G., F.Y.), Salt Lake City, Utah; University of Utah School of Medicine (G.M.V., S.J.C., J.S., I.S, F.Y., M.T.K.), Salt Lake City; University of Michigan (M.H.L.), Ann Arbor; Molecular Cardiology (S.G.P.), Maugeri Foundation, Pavia, Italy; Bikur Cholim Hospital (J.B., A.M.), Jerusalem, Israel; University of Rochester School of Medicine and Dentistry (A.J.M., J.L.R., W.Z.), Rochester, NY; Policlinico S. Matteo IRCCS (P.J.S., C.N.), Milan, Italy;...

Abstract

Background —Congenital long-QT syndrome (LQTS) is caused by mutations of genes encoding the slow component of the delayed rectifier current (LQT1, LQT5), the rapid component of the delayed rectifier current (LQT2, LQT6), or the Na + current (LQT3), resulting in ST-T–wave abnormalities on the ECG. This study evaluated the spectrum of ST-T–wave patterns and repolarization parameters by genotype and determined whether genotype could be identified by ECG. Methods and Results —ECGs of 284 gene carriers were studied to determine ST-T–wave patterns, and repolarization parameters were quantified. Genotypes were identified by individual ECG versus family-grouped ECG analysis in separate studies using ECGs of 146 gene carriers from 29 families and 233 members of 127 families undergoing molecular genotyping, respectively. Ten typical ST-T patterns (4 LQT1, 4 LQT2, and 2 LQT3) were present in 88% of LQT1 and LQT2 carriers and in 65% of LQT3 carriers. Repolarization parameters also differed by genotype. A combination of quantified repolarization parameters identified genotype with sensitivity/specificity of 85%/70% for LQT1, 83%/94% for LQT2, and 47%/63% for LQT3. Typical patterns in family-grouped ECGs best identified the genotype, being correct in 56 of 56 (21 LQT1, 33 LQT2, and 2 LQT3) families with mutation results. Conclusions —Typical ST-T–wave patterns are present in the majority of genotyped LQTS patients and can be used to identify LQT1, LQT2, and possibly LQT3 genotypes. Family-grouped ECG analysis improves genotype identification accuracy. This approach can simplify genetic screening by targeting the gene for initial study. The multiple ST-T patterns in each genotype raise questions regarding the pathophysiology and regulation of repolarization in LQTS.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3